Open Access
Volume 38, Number 4, August 2020
Page(s) 723 - 732
Published online 06 October 2020
  1. Pan Y, Xu X, Qiao Y. Design of Two-DMD Based Zoom MW and LW Dual-Band IRSP Using Pixel Fusion[J]. Infrared Physics & Technology, 2018, 91: 90-100 [Article] [CrossRef] [Google Scholar]
  2. Luo X, Li X, Wang P, et al. Infrared and Visible Image Fusion Based on NSCT and Stacked Sparse Auto Encoders[J]. Multimedia Tools Applications, 2018, 77(17): 22407-22431 10.1007/s11042-018-5985-6 [CrossRef] [Google Scholar]
  3. Ben H A, Yun H, Hamid K, et al. A Multi-Scale Approach to Pixel-Level Image Fusion[J]. Integrated Computer-Aided Engineering, 2005, 12(2): 135-146 10.3233/ICA-2005-12201 [CrossRef] [Google Scholar]
  4. Jiang Q, Jin X, Lee S J, et al. A Novel Multi-Focus Image Fusion Method Based on Stationary Wavelet Transform and Local Features of Fuzzy Sets[J]. IEEE Access, 2017, 5: 20286-20302 10.1109/ACCESS.2017.2758644 [CrossRef] [Google Scholar]
  5. Wang L, Li B, Tian L F. EGGDD:an Explicit Dependency Model for Multi-Modal Medical Image Fusion in Shift-Invariant Shearlet Transform Domain[J]. Information Fusion, 2014, 19:29-37 10.1016/j.inffus.2013.04.005 [CrossRef] [Google Scholar]
  6. Qu X, Zhang F, Zhang Y, et al. A Method of Dual-Band Infrared Images Fusion Based on Gradient Pyramid Decomposition[C]//IET International Conference on Information Science and Control Engineering, 2012 [Google Scholar]
  7. Sun Y Q, Tian J W, Liu J. Dim Small Targets Detection Based on Dual band Infrared Image Fusion[C]//IEEE International Conference on Industrial Technology, 2016 [Google Scholar]
  8. Wang Wenbo, Wang Yingrui. Analysis and Processing of Infrared Dual Waveband Radiation Ratio Based Point Target[J]. Infrared and laser Engineering, 2015, 44(8): 2347-2350 [Article] (in Chinese) [Google Scholar]
  9. Guo Lei, Cheng Gong, Zhao Tianyun. A New and Effective Multi-Focus Image Fusion Algorithm Based on Wavelet Transforms and Neighborhood Features[J]. Journal of Northwestern Polytechnical University, 2011, 29(3): 454-459 [Article] (in Chinese) [Google Scholar]
  10. Zhang Y, Zhang L, Bai X, et al. Infrared and Visual Image Fusion through Infrared Feature Extraction and Visual Information Preservation[J]. Infrared Physics & Technology, 2017, 83:227-237 [Article] [CrossRef] [Google Scholar]
  11. Jin X, Jiang Q, Yao S, et al. Infrared and Visual Image Fusion Method Based on Discrete Cosine Transform and Local Spatial Frequency in Discrete Stationary Wavelet Transform Domain[J]. Infrared Physics & Technology, 2017, 88: 1-12 [Article] [CrossRef] [Google Scholar]
  12. Li Qiuhua, Wang Housheng, Zou Zili. Detection of Dual Band IR Small Target Fusion Detection Based on Wavelet Trans formation and Grayscale Morphology Filtering[J]. Signal Processing, 2006, 22(3): 312-316 [Article] (in Chinese) [Google Scholar]
  13. Zhang Shengwei, Li Wei, Zhao Xuejing. A Method for Fusion of Visible and Infrared Images Based on Sparse Representation[J]. Electronics Optics & Control, 2017, 6:51-56 [Article] (in Chinese) [Google Scholar]
  14. Guo Lei, Liu Kun. Applying NSCT(Non Subsampled Contourlet Transform) Theory to Achieving Effective Image Fusion[J]. Journal of Northwestern Polytechnical University, 2009, 27(2): 255-259 [Article] (in Chinese) [Google Scholar]
  15. Liu Y, Chen X, Cheng J, et al. Infrared and Visible Image Fusion with Convolutional Neural Net-Works[J]. International Journal of Wavelets, Multiresolution and Information Processing, 2018, 16(3): 1884-2021 [Article] [Google Scholar]
  16. Li H, Wu X J, Durrani T S. Infrared and Visible Image Fusion with ResNet and Zero-Phase Component Analysis[J]. Information Fusion, 2018, 102:1-21 [Article] [CrossRef] [Google Scholar]
  17. Li W, Cheng Y, Sun Y, et al. Multi-Focus Image Performance Evaluation Method Based on the Extraction and Combination of Multiple Metrics[C]//International Conference on Computational Intelligence and Security, 2017 [Google Scholar]
  18. Sreeja P, Hariharan S. An Improved Feature Based Image Fusion Technique for Enhancement of Liver Lesions[J]. Bio cybern Biomed, 2018, 38(3): 611-623 [Article] [Google Scholar]
  19. Smeelen M A, Schwering P B W, Toet A, et al. Semi-Hidden Target Recognition in Gated Viewer Images Fused with Thermal IR Images[J]. Information Fusion, 2014, 18:131-147 10.1016/j.inffus.2013.08.001 [CrossRef] [Google Scholar]
  20. He K, Niu J H, Shen C N, et al. Image in Painting Algorithm with Adaptive Patch Using SSIM[J]. Journal of Tianjin University, 2018, 51(7): 763-767 [Article] [Google Scholar]
  21. Tania R, Santos R, Joao M, et al. Application for Older Adults to Ask for Help from Volunteers Through television: Design and Evaluation of a High Visual-Fidelity Prototype[C]//Applications and Vsability of Interactive Television 6th Iberoamerican Conference, 2017 [Google Scholar]

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